Font Size: a A A

One Type Of Analysis And Control Program Chaos System

Posted on:2014-01-26Degree:MasterType:Thesis
Country:ChinaCandidate:T WangFull Text:PDF
GTID:2268330425451031Subject:Control theory and control engineering
Abstract/Summary:PDF Full Text Request
Chaos theory is an important branch of nonlinear theory. In daily life, chaos phenomenon is everywhere around us, such as lighted cigarette, water faucet, turbulence, weather variations, waving flages and so on. With the development of chaos theory, some new chaos systems were continually found and they have their own properties. A new chaos that referenced is studied in this paper. In the industrial production, some chaotic motions are harmful and unwanted, so they must be controlled. So far, there are many kinds of ways to control chaos. Some dynamical properties and characteristic quantity of this new chaos system are studied, and some ways are found out to control this chaos.To control a chaotic system with linear-feedback control method which can set the chaotic system to its stable period orbit. By using Routh-Hurwitz criterion, the right feedback parameters are obtained. But it’s difficult to get the parameters in the multi-dimensional chaotic system. So we simplify rules to get parametric curve. The choice principle of feedback parameters to attain control objective is proved strictly by combining the linear state feedback method. Numerical simulation shows that this method is feasible and effective. Then, LE disposition control method is used to control this system. According to predetermined Lyapunov exponents and system convergence points, a controller is set to control this chaos system. This method is compared with feedback control method, and analyzed the different between them in this paper.Control the chaotic behavior of a chaos to the desired targets. A nonlinear compensation controller with BP neural networks is developed. Using the recognition ability of BP neural network, the trained BP networks can eliminate the nonlinear part of the chaotic system, then a linear state-feedback controller is designed to control the system to a target position. Simulation this chaos system on computer, results showed the applicability of the proposed method. Compensation controller and no-compensation controller are compared, the results proved the accuracy of this method.
Keywords/Search Tags:chaos system, nerual network, chaos control, lyapunov exponent, linear feedbackcontrol
PDF Full Text Request
Related items